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Artificial intelligence has given rise to new tech job opportunities. Microsoft leading the technological revolution is known for its innovation in technology. Today, Microsoft offers numerous AI job opportunities. Here, we will explore the top artificial intelligence jobs at Microsoft:
The Human-AI eXperiences (HAX) team at Microsoft Research is seeking to hire an artificial intelligence researcher. This role is particularly impactful, focusing on leveraging the capabilities of both people and foundation model-based agents to solve real problems and enhance lives. Key areas of research include human-AI collaboration and teaming, foundation model-based systems, multi-agent systems, next-generation AI experiences, and responsible AI.
Candidates for this position are expected to engage in cutting-edge research, developing practical solutions that deliver tangible benefits to society. Interdisciplinary cooperation is important since other experts and engineers from Microsoft support researchers in expanding the positive impact of their work.
This position requires drive and a concern with making an actual difference demonstrated by experience in creating and shipping prototypes or OSS frameworks. Applicants with influence factors should be able to have projects and publications in well recognized conferences/ journals such as NeurIPS, ICML, AAAI, CHI, and UIST.
Also, prior working experience in the interdisciplinary field of applied machine learning, natural language processing as well as conducting user studies and usability evaluations of human computer Interaction interfaces.
Microsoft’s AI Red Team is looking for a Principal AI Safety Researcher to join their efforts in advancing AI safety and security. This role is vital in researching new and emerging threats to ensure the robustness of AI systems.
The requirements of the employment sought Principal AI Safety Researcher include discovering and leveraging responsible AI vulnerabilities, system safety evaluation, and creating a scaled and efficient methodology for AI Red Teaming.
The presence of collaboration with security experts, Offensive Security Engineers, adversarial machine learning specialists, as well as with the developers, is strictly recommended to perform the task of maintaining a responsible AI environment.
The applicants must be security cleared by Microsoft, the customer and/or government as required. This position will suit those people who desire to work in the sphere of AI safety and who are aware of numerous challenges that arise when one tries to protect AI systems.
Microsoft is recruiting for the position of AI labs operations manager. The AI lab operations manager position in Microsoft’s AI, Data, and Emerging Technologies Business Development organization offers a unique opportunity to manage the operations of AI Co-Innovation laboratories.
This role involves delivering corporate-level governance for strategic growth opportunities, forming alliances, developing ecosystems, and pioneering customer engagements.
The duties of work of the AI lab operations manager include the achievement of high-value customers and partners, and carrying out routine events regularly with attention to both internal and external clients.
The position involves proposing and implementing new lab programs for customers, as well as collecting and evaluating the customers’ use cases, and providing reports on product and industry signals on a periodic basis. Furthermore, the manager is required to coordinate the running of the labs on set down practices and formulation of operational policies that are inline with the activities of the lab.
This includes working on reporting consistency and visuals, defining sets of standards for the projects, and synchronizing the lab activities with other groups and suppliers.
Microsoft has a job opening for the position of applied scientist II specifically for the Image Search team. This position entails the creation of machine learning models and other back end elements of Microsoft’s Image product.
The team tends to build text classification, ranking and prominence estimation models, to select the best samples of images representing each counselling classification, and deliver recommendations and trends affecting the product development strategy.
Duties involve proposing the methodologies to assess the effect of novel machine learning techniques and product innovations and to gather and fine-tune data.
The Applied Scientist II also contributes to feature generation and metrics, feature prioritization and delivery along with data, as well as feature outcomes realization with product teams and other organizations of Microsoft.
Microsoft is looking to seek candidates for the position of Azure advanced cloud engineer II. The role of Azure advanced cloud engineer II implies customers’ support and engineering in the Azure cloud platform to a passionate person. Such support entails closer working in spheres that include incidents, support, and enablement.
This role involves deep engagements in areas such as incident management, support, and enablement. The engineer is accountable for the customer’s Azure support experience, driving the resolution of complex critical problems, and supporting key customer projects on Azure.
Some of duties involve the use of engineering utilities, customers’ data, and direct feedback to identify a pattern of defects or problems in customers. To communicate the issues, activities and the plan, the engineer has to keep the customers and partners informed. However, finding out how clients are using the products, consolidating this data, determining and analyzing where features are missing, and finding ways of measuring changes where these are required are some of the important aspects needed for the position.
The Azure Advanced Cloud Engineer II also recommends changes to content improvement or troubleshooting guides and collaborates with teams to enhance the overall customer experience.
Microsoft offers a multitude of employment opportunities in the sphere of AI for specialties in the sphere of AI studying, security, managing, and developing. These positions do not only prove that Microsoft has the commitment to advance AI technology but also the will to create meaningful and righteous AI.
As a result, the company that started with the leading AI research, providing the security of AI systems, supervising laboratory work, developing new AI algorithms in machine learning, and offering top cloud services for AI, is an inspiring and supportive environment for AI professionals to develop their careers and make a positive difference in the world.
What qualifications are needed for a Researcher in Artificial Intelligence at Microsoft?
To qualify for a Researcher position in Artificial Intelligence at Microsoft, candidates should possess a strong academic background in relevant fields such as computer science, machine learning, natural language processing, and human-computer interaction. A Ph.D. or equivalent research experience is highly preferred. Applicants should have a demonstrated track record of influential projects and publications in top-tier conferences and journals like NeurIPS, ICML, AAAI, CHI, or UIST. Interdisciplinary experience is crucial, involving applied machine learning, conducting offline and online evaluations, and user-centered research. The role requires collaboration with other researchers and engineers to develop and implement innovative solutions.
What does the role of Principal AI Safety Researcher entail at Microsoft?
The Principal AI Safety Researcher at Microsoft focuses on advancing the safety and security of AI systems. This role involves researching new and emerging threats to AI, discovering and exploiting vulnerabilities, and developing methodologies to enhance AI Red Teaming efforts. The researcher collaborates closely with security experts, adversarial machine learning specialists, and developers to ensure comprehensive assessments and mitigations of AI vulnerabilities.
Key responsibilities include informing the organization about potential threats, developing scalable safety techniques, and influencing AI safety practices across Microsoft’s AI initiatives. Applicants must meet stringent security screening requirements, reflecting the sensitive nature of the work.
What are the main responsibilities of an AI Lab Operations Manager at Microsoft?
The AI Lab Operations Manager at Microsoft is responsible for overseeing the operations of AI Co-Innovation laboratories, ensuring efficient and effective project management. This role involves collaborating with internal and external stakeholders to create a balanced and positive experience for customers and partners. Key duties include organizing regular events, developing new lab programs, gathering and analyzing customer use cases, and producing regular product and industry signals reports. The manager must ensure adherence to Microsoft’s Responsible AI guidelines and other policies, standardize reporting, and define consistent project frameworks.
What skills are required for an Applied Scientist II at Microsoft?
An Applied Scientist II at Microsoft needs a robust set of skills in machine learning, data science, and software development. Key responsibilities include developing machine learning models and backend components, designing experiments to measure the impact of new models and product features, and implementing feature generation pipelines.
Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and a strong understanding of statistical methods are essential. The role also requires the ability to collect and analyze data, evaluate model performance, and make data-driven decisions for feature prioritization.
What is the role of an Azure Advanced Cloud Engineer II at Microsoft?
The Azure Advanced Cloud Engineer II at Microsoft is focused on providing primary support and engineering expertise for the Azure cloud platform. This role involves deep engagement in incident management, support, and enablement, ensuring a superior support experience for Azure customers. Key responsibilities include resolving complex critical problems, supporting key customer projects, and utilizing engineering tools and customer telemetry to flag patterns of defects or issues.
